CN117391363B - Method and system for scheduling vehicles for smart city - Google Patents
Method and system for scheduling vehicles for smart city Download PDFInfo
- Publication number
- CN117391363B CN117391363B CN202311377885.2A CN202311377885A CN117391363B CN 117391363 B CN117391363 B CN 117391363B CN 202311377885 A CN202311377885 A CN 202311377885A CN 117391363 B CN117391363 B CN 117391363B
- Authority
- CN
- China
- Prior art keywords
- vehicle
- module
- information
- emergency
- dispatching
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 29
- 238000012544 monitoring process Methods 0.000 claims abstract description 56
- 230000005540 biological transmission Effects 0.000 claims abstract description 8
- 238000005516 engineering process Methods 0.000 claims abstract description 8
- 238000012545 processing Methods 0.000 claims description 9
- 230000002159 abnormal effect Effects 0.000 claims description 7
- 238000000605 extraction Methods 0.000 claims description 6
- 238000013178 mathematical model Methods 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 claims description 4
- 238000004891 communication Methods 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 6
- 230000005856 abnormality Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000001934 delay Effects 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- PCHJSUWPFVWCPO-UHFFFAOYSA-N gold Chemical compound [Au] PCHJSUWPFVWCPO-UHFFFAOYSA-N 0.000 description 1
- 239000010931 gold Substances 0.000 description 1
- 229910052737 gold Inorganic materials 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06315—Needs-based resource requirements planning or analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Theoretical Computer Science (AREA)
- Economics (AREA)
- Tourism & Hospitality (AREA)
- Entrepreneurship & Innovation (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Databases & Information Systems (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Remote Sensing (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention relates to the technical field of vehicle dispatching and provides a vehicle dispatching method and system for smart cities, wherein the system server is connected with a user terminal, a dispatching workstation, an security monitoring workstation and a network base station through a network transmission technology, and the network base station is connected with a Beidou/GPS satellite and a vehicle-mounted terminal through the network transmission technology. The response time cost of future emergencies with weights is introduced into the scheduling model, so that the content of emergency vehicle scheduling problems is enriched, the rescue speed is improved, the rescue efficiency is further improved, the service levels achieved by the emergency system under different event types at different times in the whole area are reflected by the concept of the confidence level alpha, meanwhile, the distribution probability of the emergencies at different positions in the area is reflected, the time for building the model is shortened, the rescue speed is further improved, and the rescue efficiency is improved.
Description
Technical Field
The invention relates to the technical field of vehicle scheduling, in particular to a method and a system for scheduling vehicles in smart cities.
Background
The rapid emergency personnel comprise firefighters, medical staff and police staff, the rapid emergency personnel shuttle in the roads of the city every day to ensure the life and property safety of people, but along with the continuous improvement of the living standard of people, automobiles become the mainstream tools of riding instead of walk, the increase of the automobiles not only causes pollution to the environment, but also causes the congestion of urban road traffic, when the rapid emergency personnel vehicles need to rescue the life and property of people, the congestion of the roads possibly delays the rescue time of gold, and the urban vehicle scheduling model under uncertain conditions cannot be established according to the occurrence probability of current events and future events.
Therefore, we propose an improvement to this, a method and system for scheduling vehicles for smart cities.
Disclosure of Invention
The technical problems to be solved by the invention are as follows: and (3) establishing a city vehicle dispatching model under the uncertain condition, and improving the dispatching efficiency of an emergency system of the emergency vehicle dispatching decision system for emergency rescue.
(II) technical scheme
In order to achieve the above-mentioned purpose, the invention provides a vehicle dispatch system for smart cities, comprising a system server, wherein the system server is connected with a user terminal, a dispatch workstation, an security monitoring workstation and a network base station through a network transmission technology, and the network base station is connected with a Beidou/GPS satellite and a vehicle-mounted terminal through a network transmission technology;
the An Jiangong workstation is internally provided with a user information management module, a vehicle real-time monitoring module, a vehicle track playback module, an emergency dispatching decision module and a decision execution notification module, wherein the user information management module is used for acquiring and managing account information of a user so as to acquire basic information of the user, the vehicle real-time monitoring module is used for carrying out real-time single selection, group selection or all of time, speed, direction and position information in the vehicle driving process on an electronic map, the vehicle track playback module is used for playing back a history track of vehicle driving on the electronic map, the emergency dispatching decision module is used for producing decisions of vehicle dispatching under the condition of emergency uncertainty, and the decision execution notification module is used for executing the generated decision notification to vehicles needing dispatching.
The vehicle-mounted terminal comprises a GPS positioning module, a voice extraction module, a vehicle running information acquisition module and an in-vehicle video shooting module, wherein the GPS positioning module is used for positioning vehicle position information, the voice extraction module is used for extracting sound information inside and outside a vehicle, the vehicle running information module is used for acquiring speed, lane, direction and time information in the running process of the vehicle, and the in-vehicle video shooting module is used for shooting video information inside and outside the vehicle in the running process of the vehicle.
The system server comprises a GIS geographic map module, a vehicle monitoring acquisition module, a text scheduling module, an abnormality early warning module and an emergency processing module, wherein the GIS geographic map module is used for constructing an electronic map and displaying the running position information of a vehicle, the vehicle monitoring acquisition module is used for acquiring the voice, video and running information inside and outside the vehicle in the running process of the vehicle, the text scheduling module is used for generating text information of vehicle scheduling and storing scheduling information, the abnormality early warning module is used for generating early warning information and sending the early warning information to a user terminal in emergency rescue, and the emergency processing module is used for carrying out emergency processing on abnormal conditions in the rescue process.
The user terminal comprises a smart phone, a tablet personal computer and a talkback device, and is used for registering, logging in a user account and establishing communication with a dispatching workstation and a security monitoring workstation.
The dispatching work station comprises a vehicle monitoring display module, an alarm monitoring module and a report generation module, wherein the vehicle monitoring display module is used for displaying images shot inside and outside a vehicle and sound information, the alarm monitoring module is used for monitoring vehicle alarm information needing emergency rescue, and the report generation module is used for acquiring vehicle dispatching text information generated by the text dispatching module and generating a vehicle dispatching report.
A vehicle scheduling method for a smart city is applied to any one of the vehicle scheduling systems for the smart city, and comprises the following steps of
S1, when a dispatching workstation monitors a vehicle needing rescue through an alarm monitoring module, alarm information is sent to a system server;
S2, the system server acquires position information of rescue vehicles around the vehicle to be rescued through the GIS geographic map module, acquires monitoring information of the vehicle-mounted terminal through the vehicle monitoring acquisition module, and feeds back the monitoring information to the inside of the safety monitoring workstation;
S3, the safety supervision workstation acquires real-time monitoring information of the vehicle through the vehicle real-time monitoring module, acquires user information of the rescue vehicle through the user information management module, and establishes a mathematical model of a vehicle dispatching function under the uncertain condition through the emergency dispatching decision module to generate dispatching information;
S4, after the safety supervision workstation generates scheduling information through the emergency scheduling decision module, the safety supervision workstation sends rescue scheduling information to a user terminal of the rescue vehicle in real time through the decision execution notification module.
In the step S3, the mathematical model of the vehicle dispatching function is
Wherein D is an array of all emergency vehicles;
d n is a vehicle array of the emergency vehicle spindle station at the nth position;
N is the current emergency array to be processed;
f is an event array which can happen in the future;
W is a response time weight array;
EP j is the response time weight of the current event j;
EP k is the response time weight of the future event k;
t ij and t ik are respectively the execution response event from the starting point to the time occurrence point of the vehicle, and the shortest travel time for executing and preventing future events;
alpha is the confidence level that the system's ability to guard against future events should reach;
The decision variable introduces two 0-1 variables x ij、xik,xij equal to 1 to represent that vehicle i performs the task of responding to event j, equal to 0 to represent that no task is performed, x ik equal to 1 to represent that vehicle i performs the task of preventing future event k, equal to 0 to represent that no task is performed.
Wherein, the calculation formula of t ij is as follows
Wherein, T ij is the travel time of the emergency vehicle from the point i to the point j at a free flow rate;
delay time from point i to point j of the emergency vehicle at the moment d;
l is the distance from point i to point j;
Road traffic volume at time d;
v 1 is the speed of travel of the emergency vehicle during free flow;
v 2 is the average travel speed of the social vehicle at time d.
(III) beneficial effects
The method and the system for scheduling the vehicles for the smart city have the beneficial effects that:
1. The emergency vehicle dispatching mathematical programming model for preventing the response requirement of the future emergency is established, the established model aims at reducing the total response time cost of the current event and the future event, the total response time cost can be reduced when the future emergency is realized, the response time cost of the future emergency with weight is introduced into the dispatching model, the content of the emergency vehicle dispatching problem is enriched, the rescue speed is improved, and the rescue efficiency is further improved.
2. By means of the concept of the confidence level alpha, the service level achieved by the emergency system under different event types at different times in the whole area is reflected, meanwhile, the distribution probability of emergency events at all positions in the area is reflected, the time for establishing a model is shortened, the rescue speed is further improved, and the rescue efficiency is improved.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings can be obtained according to these drawings without inventive effort to a person skilled in the art.
FIG. 1 is a schematic diagram of a system for scheduling vehicles in a smart city;
FIG. 2 is a schematic diagram of a vehicle terminal system of a method and a system for scheduling vehicles for smart cities;
FIG. 3 is a schematic diagram of a system server system of a method and system for scheduling vehicles for smart cities according to the present application;
FIG. 4 is a schematic diagram of a user terminal system of a method and a system for scheduling vehicles for smart cities according to the present application;
FIG. 5 is a schematic diagram of a dispatching workstation system for a method and system for dispatching vehicles for smart cities;
Fig. 6 is a schematic diagram of a security monitoring workstation system of the method and system for dispatching vehicles for smart cities.
Detailed Description
The following detailed description of specific embodiments of the invention is provided in connection with the accompanying drawings and examples. The following examples are only illustrative of the present invention and are not intended to limit the scope of the invention.
As shown in fig. 1-6, the present embodiment proposes a smart city vehicle dispatching system, which includes a system server, wherein the system server is connected with a user terminal, a dispatching workstation, an security monitoring workstation and a network base station through a network transmission technology, and the network base station is connected with a beidou/GPS satellite and a vehicle-mounted terminal through a network transmission technology;
the An Jiangong workstation is internally provided with a user information management module, a vehicle real-time monitoring module, a vehicle track playback module, an emergency dispatching decision module and a decision execution notification module, wherein the user information management module is used for acquiring and managing account information of a user so as to acquire basic information of the user, the vehicle real-time monitoring module is used for carrying out real-time single selection, group selection or all of time, speed, direction and position information in the vehicle driving process on an electronic map, the vehicle track playback module is used for playing back a history track of vehicle driving on the electronic map, the emergency dispatching decision module is used for producing decisions of vehicle dispatching under the condition of emergency uncertainty, and the decision execution notification module is used for executing the generated decision notification to vehicles needing dispatching.
The vehicle-mounted terminal comprises a GPS positioning module, a voice extraction module, a vehicle running information acquisition module and an in-vehicle video shooting module, wherein the GPS positioning module is used for positioning vehicle position information, the voice extraction module is used for extracting sound information inside and outside a vehicle, the vehicle running information module is used for acquiring speed, lane, direction and time information in the running process of the vehicle, and the in-vehicle video shooting module is used for shooting video information inside and outside the vehicle in the running process of the vehicle.
The system server comprises a GIS geographic map module, a vehicle monitoring acquisition module, a text scheduling module, an abnormal early warning module and an emergency processing module, wherein the GIS geographic map module is used for constructing an electronic map and displaying the running position information of a vehicle, the vehicle monitoring acquisition module is used for acquiring the voice, video and running information inside and outside the vehicle in the running process of the vehicle, the text scheduling module is used for generating text information of vehicle scheduling and storing scheduling information, the abnormal early warning module is used for generating early warning information and sending the early warning information to a user terminal in emergency rescue, and the emergency processing module is used for carrying out emergency processing on abnormal conditions in the rescue process.
The user terminal comprises a smart phone, a tablet personal computer and an intercom, and is used for registering, logging in a user account and establishing communication with a dispatching workstation and a security monitoring workstation.
The dispatching workstation comprises a vehicle monitoring display module, an alarm monitoring module and a report generation module, wherein the vehicle monitoring display module is used for displaying images shot inside and outside a vehicle and sound information, the alarm monitoring module is used for monitoring vehicle alarm information needing emergency rescue, and the report generation module is used for acquiring vehicle dispatching text information generated by the text dispatching module and generating a vehicle dispatching report.
A vehicle scheduling method for a smart city is applied to any one of the vehicle scheduling systems for the smart city, and comprises the following steps of
S1, when a dispatching workstation monitors a vehicle needing rescue through an alarm monitoring module, alarm information is sent to a system server;
S2, the system server acquires position information of rescue vehicles around the vehicle to be rescued through the GIS geographic map module, acquires monitoring information of the vehicle-mounted terminal through the vehicle monitoring acquisition module, and feeds back the monitoring information to the inside of the safety monitoring workstation;
S3, the safety supervision workstation acquires real-time monitoring information of the vehicle through the vehicle real-time monitoring module, acquires user information of the rescue vehicle through the user information management module, and establishes a mathematical model of a vehicle dispatching function under the uncertain condition through the emergency dispatching decision module to generate dispatching information;
S4, after the safety supervision workstation generates scheduling information through the emergency scheduling decision module, the safety supervision workstation sends rescue scheduling information to a user terminal of the rescue vehicle in real time through the decision execution notification module.
In the step S3, the mathematical model of the vehicle dispatching function is
Wherein D is an array of all emergency vehicles;
d n is a vehicle array of the emergency vehicle spindle station at the nth position;
N is the current emergency array to be processed;
f is an event array which can happen in the future;
W is a response time weight array;
EP j is the response time weight of the current event j;
EP k is the response time weight of the future event k;
t ij and t ik are respectively the execution response event from the starting point to the time occurrence point of the vehicle, and the shortest travel time for executing and preventing future events;
alpha is the confidence level that the system's ability to guard against future events should reach;
The decision variable introduces two 0-1 variables x ij、xik,xij equal to 1 to represent that vehicle i performs the task of responding to event j, equal to 0 to represent that no task is performed, x ik equal to 1 to represent that vehicle i performs the task of preventing future event k, equal to 0 to represent that no task is performed.
The calculation formula of t ij is as follows
Wherein, T ij is the travel time of the emergency vehicle from the point i to the point j at a free flow rate;
delay time from point i to point j of the emergency vehicle at the moment d;
l is the distance from point i to point j;
Road traffic volume at time d;
v 1 is the speed of travel of the emergency vehicle during free flow;
v 2 is the average travel speed of the social vehicle at time d.
Specifically, three parameters of the emergency vehicle travel time, the weight of the event, the confidence level alpha and the like show that the model is suitable for the emergency requirement under the uncertain condition, the severity of the event is random, the serious event should respond preferentially, the weight values of different types of events can be determined by adopting a hierarchical analysis method, alpha represents the probability that the event happened in the future can obtain satisfactory response, and the probability and severity probability of the emergency event in the area are determined, so that the emergency vehicle travel time is required to be acquired through statistical historical data and is mainly influenced by two factors: firstly, the time period, the travel time delay in the peak period is obviously increased, secondly, the space capacity, whether the road can provide enough space or not, including the space of a facing lane, determines whether the social traffic flow lets the emergency vehicles, the travel time calculation problem is converted into the determination of the critical flow C ij, and the value of alpha influences the scheduling result; when the value of alpha is 0-1, the weight of the response time of the future event is determined, along with the increase of alpha, the vehicle is prone to prepare the region of the emergency serious event.
The above embodiments are only for illustrating the present invention, and are not limiting of the present invention. While the invention has been described in detail with reference to the embodiments, those skilled in the art will appreciate that various combinations, modifications, and substitutions can be made thereto without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (7)
1. A vehicle dispatch system for a smart city, comprising a system server, characterized in that: the system server is connected with the user terminal, the dispatching workstation, the security monitoring workstation and the network base station through a network transmission technology, and the network base station is connected with the Beidou/GPS satellite and the vehicle-mounted terminal through the network transmission technology;
The system comprises a An Jiangong workstation, a vehicle track playback module, an emergency scheduling decision module and a decision execution notification module, wherein the An Jiangong workstation is internally provided with a user information management module, a vehicle real-time monitoring module, a vehicle track playback module, an emergency scheduling decision module and a decision execution notification module, the user information management module is used for acquiring and managing account information of a user so as to acquire basic information of the user, the vehicle real-time monitoring module is used for carrying out real-time single selection, group selection or all of time, speed, direction and position information in the vehicle driving process on an electronic map, the vehicle track playback module is used for playing back a history track of vehicle driving on the electronic map, the emergency scheduling decision module is used for generating a decision of vehicle scheduling under an emergency condition, and the decision execution notification module is used for executing the generated decision notification to a vehicle needing scheduling;
The mathematical model of the vehicle dispatching function by the emergency dispatching decision module is that
Wherein D is an array of all emergency vehicles;
d n is a vehicle array of the emergency vehicle spindle station at the nth position;
N is the current emergency array to be processed;
f is an event array which can happen in the future;
W is a response time weight array;
EP j is the response time weight of the current event j;
EP k is the response time weight of the future event k;
t ij and t ik are respectively the execution response event from the starting point to the time occurrence point of the vehicle, and the shortest travel time for executing and preventing future events;
alpha is the confidence level that the system's ability to guard against future events should reach;
P is the probability of future event occurrence;
l is the number of possible future events;
The decision variable introduces two 0-1 variables x ij、xik,xij equal to 1 to represent that vehicle i performs the task of responding to event j, equal to 0 to represent that no task is performed, x ik equal to 1 to represent that vehicle i performs the task of preventing future event k, equal to 0 to represent that no task is performed.
2. A smart city vehicle dispatch system as claimed in claim 1, wherein: the vehicle-mounted terminal comprises a GPS positioning module, a voice extraction module, a vehicle running information acquisition module and an in-vehicle video shooting module, wherein the GPS positioning module is used for positioning vehicle position information, the voice extraction module is used for extracting sound information inside and outside a vehicle, the vehicle running information acquisition module is used for acquiring speed, lane, direction and time information in the running process of the vehicle, and the in-vehicle video shooting module is used for shooting video information inside and outside the vehicle in the running process of the vehicle.
3. A smart city vehicle dispatch system as claimed in claim 1, wherein: the system server comprises a GIS geographic map module, a vehicle monitoring acquisition module, a text scheduling module, an abnormal early warning module and an emergency processing module, wherein the GIS geographic map module is used for constructing an electronic map and displaying the running position information of a vehicle, the vehicle monitoring acquisition module is used for acquiring the voice, video and running information inside and outside the vehicle in the running process of the vehicle, the text scheduling module is used for generating text information of vehicle scheduling and storing scheduling information, the abnormal early warning module is used for generating early warning information and sending the early warning information to a user terminal in emergency rescue, and the emergency processing module is used for carrying out emergency processing on abnormal conditions in the rescue process.
4. A smart city vehicle dispatch system as claimed in claim 1, wherein: the user terminal comprises a smart phone, a tablet personal computer and an intercom, and is used for registering, logging in a user account and establishing communication with a dispatching workstation and a security monitoring workstation.
5. A smart city vehicle dispatch system as claimed in claim 1, wherein: the dispatching workstation comprises a vehicle monitoring display module, an alarm monitoring module and a report generation module, wherein the vehicle monitoring display module is used for displaying images shot inside and outside a vehicle and sound information, the alarm monitoring module is used for monitoring vehicle alarm information needing emergency rescue, and the report generation module is used for acquiring vehicle dispatching text information generated by the text dispatching module and generating a vehicle dispatching report.
6. A smart city vehicle dispatch system as claimed in claim 1, wherein: the calculation formula of t ij is as follows
Wherein, T ij is the travel time of the emergency vehicle from the point i to the point j at a free flow rate;
delay time from point i to point j of the emergency vehicle at the moment d;
l is the distance from point i to point j;
Road traffic volume at time d;
c ij is the traffic volume at the time of day average;
v 1 is the speed of travel of the emergency vehicle during free flow;
v 2 is the average travel speed of the social vehicle at time d.
7. A vehicle scheduling method for a smart city, applied to the vehicle scheduling system for a smart city of any one of claims 1 to 6, characterized in that: comprises the following steps
S1, when a dispatching workstation monitors a vehicle needing rescue through an alarm monitoring module, alarm information is sent to a system server;
S2, the system server acquires position information of rescue vehicles around the vehicle to be rescued through the GIS geographic map module, acquires monitoring information of the vehicle-mounted terminal through the vehicle monitoring acquisition module, and feeds back the monitoring information to the inside of the safety monitoring workstation;
s3, the safety supervision workstation acquires real-time monitoring information of the vehicle through the vehicle real-time monitoring module, acquires user information of the rescue vehicle through the user information management module, and establishes a mathematical model of a vehicle dispatching function under an emergency condition through the emergency dispatching decision module to generate dispatching information;
S4, after the safety supervision workstation generates scheduling information through the emergency scheduling decision module, the safety supervision workstation sends rescue scheduling information to a user terminal of the rescue vehicle in real time through the decision execution notification module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311377885.2A CN117391363B (en) | 2023-10-24 | 2023-10-24 | Method and system for scheduling vehicles for smart city |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311377885.2A CN117391363B (en) | 2023-10-24 | 2023-10-24 | Method and system for scheduling vehicles for smart city |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117391363A CN117391363A (en) | 2024-01-12 |
| CN117391363B true CN117391363B (en) | 2024-06-21 |
Family
ID=89471606
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311377885.2A Active CN117391363B (en) | 2023-10-24 | 2023-10-24 | Method and system for scheduling vehicles for smart city |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117391363B (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110033131A (en) * | 2019-03-28 | 2019-07-19 | 南京理工大学 | A kind of the intelligent decision system module and its working method of traffic rescue |
| CN115719635A (en) * | 2022-11-23 | 2023-02-28 | 北京北铃专用汽车有限公司 | Ambulance scheduling method, device, equipment and storage medium |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR102011598B1 (en) * | 2018-02-21 | 2019-08-16 | 이도훈 | Emergency traffic control system using mobile device |
| CN110751373B (en) * | 2019-09-25 | 2022-08-16 | 哈尔滨哈工智慧嘉利通科技股份有限公司 | Communication vehicle scheduling method and system for emergency rescue and communication vehicle |
| CN116822761B (en) * | 2023-03-14 | 2024-02-02 | 北京人人平安科技有限公司 | Air-ground integrated rescue vehicle path optimization method for forest fire prevention |
| CN116313012A (en) * | 2023-03-23 | 2023-06-23 | 淮安市第一人民医院(淮安市第一红十字医院) | Information monitoring system based on first-aid scheduling |
| CN116863708B (en) * | 2023-09-04 | 2024-01-12 | 成都市青羊大数据有限责任公司 | Smart city scheduling distribution system |
-
2023
- 2023-10-24 CN CN202311377885.2A patent/CN117391363B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110033131A (en) * | 2019-03-28 | 2019-07-19 | 南京理工大学 | A kind of the intelligent decision system module and its working method of traffic rescue |
| CN115719635A (en) * | 2022-11-23 | 2023-02-28 | 北京北铃专用汽车有限公司 | Ambulance scheduling method, device, equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117391363A (en) | 2024-01-12 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110060484B (en) | Road passenger traffic violation real-time early warning system and method based on block chain | |
| CN105185100A (en) | Vehicle monitoring and managing system | |
| CN105761425B (en) | Method for seeking help, system and device | |
| CN108423003A (en) | A kind of driving safety monitoring method and system | |
| CN105575115A (en) | Driving behavior analysis method based on vehicle-mounted monitoring and management platform | |
| CN101571996A (en) | Intelligent emergency management method for urban public transports | |
| CN110675625A (en) | Intelligent traffic big data method and system | |
| CN104464356B (en) | A kind of taxi driver's traffic safety prevention method | |
| CN112085961B (en) | Bus dispatching and data transmission system | |
| CN110838044A (en) | Operation platform for intelligently customizing bus based on mobile internet and operation method thereof | |
| CN114093143A (en) | Vehicle driving risk perception early warning method and device | |
| CN105528889A (en) | Intelligent vehicle monitoring system | |
| CN108682155A (en) | Prevent and eliminate the design method of traffic accident in advance by high moral road conditions early warning | |
| CN111882863A (en) | Traffic comprehensive application platform based on Beidou and quantum security 5G Internet of things | |
| Mrema et al. | A survey of road accident reporting and driver’s behavior awareness systems: the case of Tanzania | |
| CN117440020B (en) | Scheduling management method and system for emergency detection communication command integrated platform | |
| CN106990745A (en) | A kind of vehicle intelligent terminal and monitoring system based on Beidou navigation | |
| CN117391363B (en) | Method and system for scheduling vehicles for smart city | |
| DE102017125490A1 (en) | Comfort improvement in the use of bicycles | |
| CN117332955A (en) | Expressway bridge deck emergency event handling system and evaluation method | |
| CN111047835A (en) | Road passenger traffic overspeed early warning system based on block chain | |
| CN115510034A (en) | Highway tunnel management and control architecture, method and system | |
| CN109326142A (en) | Highway prevention is knocked into the back and second accident generating system and its implementation | |
| US20220346728A1 (en) | Big Data 911TM - Expedited EMT response after Vehicle Accidents or Other Emergencies | |
| CN115297138A (en) | Vehicle management method and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |